mthds-inputs

Generates input data for MTHDS method bundles from schema and user-defined strategies.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mthds-ai/skills --skill mthds-inputs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mthds-inputs
Source: https://github.com/mthds-ai/skills/tree/main/skills/mthds-inputs
Command: npx skills add https://github.com/mthds-ai/skills --skill mthds-inputs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the creation of input data for MTHDS method bundles, ensuring compatibility and reducing manual setup time.

Core Features & Use Cases

  • Input Schema Generation: Automatically fetches the required input schema from a .mthds bundle.
  • Flexible Input Strategies: Supports generating placeholder templates, creating realistic synthetic data, or integrating user-provided files.
  • Use Case: Before running a new AI method for document summarization, use this Skill to generate a sample inputs.json file with realistic document text and appropriate parameters, ready for testing.

Quick Start

Use the mthds-inputs skill to prepare inputs for the bundle located in the '~/mthds-wip/pipeline_01' directory.

Frequently Asked Questions about mthds-inputs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate input data for an AI method bundle?

To generate input data for an AI method bundle, this Skill fetches the required input schema from a `.mthds` bundle and applies user-defined strategies to create compatible files. It supports generating placeholder templates, creating realistic synthetic data, or integrating user-provided files.

What is the best way to create a sample inputs.json file for testing a document summarization pipeline?

The best way to create a sample inputs.json file for testing a document summarization pipeline is to use this Skill's synthetic data creation strategy. It automatically generates realistic document text and appropriate parameters based on the fetched input schema, ensuring the file is ready for immediate testing.

Do I need a specific mthds-agent CLI version to validate synthetic data inputs?

Yes, you need mthds-agent CLI version 0.1.2 or higher to validate synthetic data inputs and process them. This version requirement ensures that your generated templates, synthetic data, or user file integrations are correctly validated for MTHDS method bundles.

Can I use my own user files as inputs for MTHDS methods instead of synthetic data?

Yes, you can integrate user-provided files as inputs for MTHDS methods instead of synthetic data. The Skill supports flexible input strategies, allowing you to fetch the input schema from a `.mthds` bundle and directly map your existing user files to meet the required format.

How does template generation work for preparing method bundle inputs?

Template generation for preparing method bundle inputs works by automatically fetching the required input schema from a `.mthds` bundle and generating a matching placeholder file. This placeholder structure ensures compatibility and significantly reduces the manual setup time required before running a method.

Why does my generated input schema not match the MTHDS bundle requirements?

If your generated input schema does not match the MTHDS bundle requirements, it is likely due to using an outdated mthds-agent CLI version. Upgrading to version 0.1.2 or higher ensures the input schema is correctly fetched and validated against the bundle's specifications.